def test_ipo_generate_5():
ps = ParameterSet.create_from_parm_and_value_sizes(5, 2)
gen = IpoGenerator(ps, 4)
cs = gen.generate_covering_array()
cs_expected = np.array([
[1, 1, 1, 1, 1],
[1, 1, 1, 2, 2],
[1, 1, 2, 1, 2],
[1, 1, 2, 2, 1],
[1, 2, 1, 1, 2],
[1, 2, 1, 2, 1],
[1, 2, 2, 1, 1],
[1, 2, 2, 2, 2],
[2, 1, 1, 1, 2],
[2, 1, 1, 2, 1],
[2, 1, 2, 1, 1],
[2, 1, 2, 2, 2],
[2, 2, 1, 1, 1],
[2, 2, 1, 2, 2],
[2, 2, 2, 1, 2],
[2, 2, 2, 2, 1],
],
dtype=DEFAULT_NDARRAY_TYPE)
assert np.array_equal(cs, cs_expected)
def test_generate_configurations7():
ps = ParameterSet.create_from_parm_and_value_sizes(4, 6)
gen = RecursiveGenerator(ps, 2)
cs = gen.generate_covering_array()
cs_expected = np.array([
[1, 1, 1, 1],
[2, 2, 2, 2],
[3, 3, 3, 3],
[4, 4, 4, 4],
[5, 5, 5, 5],
[6, 6, 6, 6],
[3, 4, 5, 6],
[4, 5, 6, 0],
[5, 6, 0, 1],
[6, 0, 1, 2],
[0, 1, 2, 3],
[1, 2, 3, 4],
[2, 3, 4, 5],
[6, 1, 3, 5],
[0, 2, 4, 6],
[1, 3, 5, 0],
[2, 4, 6, 1],
[3, 5, 0, 2],
[4, 6, 1, 3],
[5, 0, 2, 4],
[2, 5, 1, 4],
[3, 6, 2, 5],
[4, 0, 3, 6],
[5, 1, 4, 0],
[6, 2, 5, 1],
[0, 3, 6, 2],
[1, 4, 0, 3],
[5, 2, 6, 3],
[6, 3, 0, 4],
[0, 4, 1, 5],
[1, 5, 2, 6],
[2, 6, 3, 0],
[3, 0, 4, 1],
[4, 1, 5, 2],
[1, 6, 4, 2],
[2, 0, 5, 3],
[3, 1, 6, 4],
[4, 2, 0, 5],
[5, 3, 1, 6],
[6, 4, 2, 0],
[0, 5, 3, 1],
[4, 3, 2, 1],
[5, 4, 3, 2],
[6, 5, 4, 3],
[0, 6, 5, 4],
[1, 0, 6, 5],
[2, 1, 0, 6],
[3, 2, 1, 0],
],
dtype=DEFAULT_NDARRAY_TYPE)
assert np.array_equal(cs, cs_expected)
def test_is_zero_3():
cs = np.array([[1, 2, 3, 4]], dtype=DEFAULT_NDARRAY_TYPE)
pkw = InteractionElement({1: 2, 3: 5})
ps = ParameterSet.create_from_parm_and_value_sizes(13, 4)
g = IpoGenerator(ps, 2)
assert not g.is_zero(cs[0], pkw)
def test_get_test_value_recur_1():
ps = ParameterSet.create_from_parm_and_value_sizes(5, 2)
g = IpoGenerator(ps, 3)
cs = np.array([
[1, 1, 1, 1],
[1, 1, 2, 0],
[1, 2, 1, 0],
[1, 2, 2, 0],
[2, 1, 1, 0],
[2, 1, 2, 0],
[2, 2, 1, 0],
[2, 2, 2, 0],
],
dtype=DEFAULT_NDARRAY_TYPE)
g.test_set = cs
orig_set = set()
orig_set.add(InteractionElement({0: 2, 2: 2, 3: 2}))
orig_set.add(InteractionElement({1: 2, 2: 1, 3: 2}))
orig_set.add(InteractionElement({0: 1, 2: 1, 3: 1}))
orig_set.add(InteractionElement({0: 2, 1: 1, 3: 1}))
orig_set.add(InteractionElement({0: 1, 1: 1, 3: 2}))
orig_set.add(InteractionElement({1: 2, 2: 2, 3: 2}))
orig_set.add(InteractionElement({0: 1, 1: 1, 3: 1}))
orig_set.add(InteractionElement({1: 2, 2: 2, 3: 1}))
orig_set.add(InteractionElement({1: 1, 2: 2, 3: 2}))
orig_set.add(InteractionElement({1: 1, 2: 2, 3: 1}))
orig_set.add(InteractionElement({0: 2, 2: 1, 3: 2}))
orig_set.add(InteractionElement({0: 2, 2: 1, 3: 1}))
orig_set.add(InteractionElement({0: 1, 2: 1, 3: 2}))
orig_set.add(InteractionElement({0: 2, 1: 1, 3: 2}))
orig_set.add(InteractionElement({0: 2, 2: 2, 3: 1}))
orig_set.add(InteractionElement({1: 2, 2: 1, 3: 1}))
orig_set.add(InteractionElement({0: 1, 2: 2, 3: 2}))
orig_set.add(InteractionElement({0: 2, 1: 2, 3: 2}))
orig_set.add(InteractionElement({1: 1, 2: 1, 3: 2}))
orig_set.add(InteractionElement({0: 1, 2: 2, 3: 1}))
orig_set.add(InteractionElement({0: 2, 1: 2, 3: 1}))
orig_set.add(InteractionElement({1: 1, 2: 1, 3: 1}))
orig_set.add(InteractionElement({0: 1, 1: 2, 3: 2}))
orig_set.add(InteractionElement({0: 1, 1: 2, 3: 1}))
config_num = 0
parm_num = 3
cover = 1
test_value_list = InteractionElement({0: 1, 3: 1})
actual = set()
g.get_test_value_recur(orig_set, config_num, parm_num, cover, actual,
test_value_list)
expected = set()
expected.add(InteractionElement({0: 1, 2: 1, 3: 1}))
expected.add(InteractionElement({0: 1, 1: 1, 3: 1}))
assert actual == expected
def test_generate_configurations10():
ps = ParameterSet.create_from_parm_and_value_sizes(32, 2)
gen = RecursiveGenerator(ps, 2)
cs = gen.generate_covering_array()
cs_expected = np.array([
[
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1
],
[
2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2,
2, 1, 2, 2, 1, 2, 2, 1, 1, 1
],
[
1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1,
2, 2, 1, 2, 2, 1, 2, 1, 1, 1
],
[
2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2,
1, 2, 2, 1, 2, 2, 1, 0, 0, 0
],
[
2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 1,
1, 2, 2, 2, 2, 2, 2, 1, 1, 1
],
[
2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2,
2, 1, 1, 1, 2, 2, 2, 0, 0, 0
],
[
1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2,
2, 2, 2, 2, 1, 1, 1, 1, 1, 1
],
[
1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 0
],
[
2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1,
1, 1, 1, 1, 1, 1, 1, 2, 2, 1
],
[
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 1, 2, 2
],
[
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 2, 1, 2
],
],
dtype=DEFAULT_NDARRAY_TYPE)
assert np.array_equal(cs, cs_expected)
def test_do_vertical_growth():
ps = ParameterSet.create_from_parm_and_value_sizes(5, 3)
g = IpoGenerator(ps, 2)
g.first_parameters()
s = g.do_horizontal_growth(2)
cs = g.do_vertical_growth(s, 2)
assert len(cs) == 1
cs_expected = np.array([[2, 2, 3]], dtype=DEFAULT_NDARRAY_TYPE)
assert np.array_equal(cs, cs_expected)
def test_contains_dash_in_t_3():
cs1 = np.array([[4, 4, 4, 4], [3, 3, 3, 3]], dtype=DEFAULT_NDARRAY_TYPE)
cs2 = None
pkw = InteractionElement({0: 1, 1: 2})
piu = InteractionElement({3: 2})
ps = ParameterSet.create_from_parm_and_value_sizes(13, 4)
g = IpoGenerator(ps, 2)
g.test_set = cs1
assert g.contains_dash_in_t(cs2, pkw, piu) == -1
def test_do_horizontal_growth_1():
ps = ParameterSet.create_from_parm_and_value_sizes(13, 3)
g = IpoGenerator(ps, 2)
g.first_parameters()
actual = g.do_horizontal_growth(2)
assert len(g.test_set[0]) == 3
assert len(g.test_set) == 9
assert len(actual) == 2
ie1 = InteractionElement({1: 2, 2: 3})
ie2 = InteractionElement({0: 2, 2: 3})
assert ie1 in actual
assert ie2 in actual
def test_create_same_size_parms():
ps = ParameterSet.create_from_parm_and_value_sizes(3, 4)
p1 = Parameter.create_with_unnamed_values("1", 4)
p2 = Parameter.create_with_unnamed_values("2", 4)
p3 = Parameter.create_with_unnamed_values("3", 4)
plist = [p1, p2, p3]
ps_expected = ParameterSet(plist)
assert all(
pactual.name == pexpected.name
for pactual, pexpected in zip(ps.parameters, ps_expected.parameters))
assert all(
len(pactual) == len(pexpected)
for pactual, pexpected in zip(ps.parameters, ps_expected.parameters))
def test_add_new_test():
cs = np.array([1, 2, 3, 4], dtype=DEFAULT_NDARRAY_TYPE)
pkw = InteractionElement({0: 2, 1: 3, 2: 4})
piu = InteractionElement({3: 5})
ps = ParameterSet.create_from_parm_and_value_sizes(13, 4)
g = IpoGenerator(ps, 2)
cs_new = g.add_new_test(cs, pkw, piu)
cs_expected = np.array([[1, 2, 3, 4], [2, 3, 4, 5]],
dtype=DEFAULT_NDARRAY_TYPE)
assert np.array_equal(cs_new, cs_expected)
def test_first_parameters():
ps = ParameterSet.create_from_parm_and_value_sizes(13, 3)
g = IpoGenerator(ps, 2)
g.first_parameters()
cs_expected = np.array([
[1, 1],
[1, 2],
[1, 3],
[2, 1],
[2, 2],
[2, 3],
[3, 1],
[3, 2],
[3, 3],
],
dtype=DEFAULT_NDARRAY_TYPE)
assert np.array_equal(g.test_set, cs_expected)
def test_get_hori_recur_2():
ps = ParameterSet.create_from_parm_and_value_sizes(5, 2)
g = IpoGenerator(ps, 4)
g.first_parameters()
tva = InteractionElement({2: 1, 4: 2})
pi = set()
g.get_hori_recur(4, 2, pi, tva)
ie1 = InteractionElement({1: 1, 2: 1, 3: 1, 4: 2})
ie2 = InteractionElement({1: 1, 2: 1, 3: 2, 4: 2})
ie3 = InteractionElement({1: 2, 2: 1, 3: 1, 4: 2})
ie4 = InteractionElement({1: 2, 2: 1, 3: 2, 4: 2})
ie5 = InteractionElement({0: 1, 1: 1, 2: 1, 4: 2})
ie6 = InteractionElement({0: 1, 1: 2, 2: 1, 4: 2})
ie7 = InteractionElement({0: 2, 1: 1, 2: 1, 4: 2})
ie8 = InteractionElement({0: 2, 1: 2, 2: 1, 4: 2})
ie9 = InteractionElement({0: 1, 2: 1, 3: 1, 4: 2})
ie10 = InteractionElement({0: 1, 2: 1, 3: 2, 4: 2})
ie11 = InteractionElement({0: 2, 2: 1, 3: 1, 4: 2})
ie12 = InteractionElement({0: 2, 2: 1, 3: 2, 4: 2})
assert len(pi) == 12
assert ie1 in pi
assert ie2 in pi
assert ie3 in pi
assert ie4 in pi
assert ie5 in pi
assert ie6 in pi
assert ie7 in pi
assert ie8 in pi
assert ie9 in pi
assert ie10 in pi
assert ie11 in pi
assert ie12 in pi
def test_parmset_jsonify():
ps = ParameterSet.create_from_parm_and_value_sizes(3, 4)
j = ps.to_json()
x = ParameterSet.from_json(j)
assert x == ps